diff --git a/_community_videos/03_talk_series.md b/_community_videos/03_talk_series.md index 1d2c0a8..fa5e776 100644 --- a/_community_videos/03_talk_series.md +++ b/_community_videos/03_talk_series.md @@ -12,6 +12,6 @@ summary: >- Speaker: Kun Zhang is currently on leave from Carnegie Mellon University (CMU), where he is an associate professor of philosophy and an affiliate faculty in the machine learning department; he is working as a professor and the acting chair of the machine learning department and the director of the Center for Integrative AI at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). He develops methods for making causality transparent by torturing various kinds of data and investigates machine learning problems including transfer learning, representation learning, and reinforcement learning from a causal perspective. He has been frequently serving as a senior area chair, area chair, or senior program committee member for major conferences in machine learning or artificial intelligence, including UAI, NeurIPS, ICML, IJCAI, AISTATS, and ICLR. He was a general & program co-chair of the first Conference on Causal Learning and Reasoning (CLeaR 2022), a program co-chair of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), and is a general co-chair of UAI 2023.
- Join the live seminar on January 29, 2024 at Monday 8:00am pacific / 11:00am eastern / 4:00pm GMT / 9:30pm IST. + Join the live seminar on January 29, 2024 at Monday 8:00am pacific / 11:00am eastern / 4:00pm GMT / 9:30pm IST. ---